The Fusion of Wide Field Optical Coherence Tomography and AI: Advancing Breast Cancer Surgical Margin Visualization.

Yanir Levy¹, David Rempel¹, Mark Nguyen², Ali Yassine³, Maggie Sanati-Burns¹, Payal Salgia², Bryant Lim⁴, Sarah L Butler², Andrew Berkeley¹, Ersin Bayram²

¹Perimeter Medical Imaging AI Inc., 555 Richmond St W #511, Toronto, ON M5V 3B1, Canada.

²Perimeter Medical Imaging AI Inc., 8585 N Stemmons Fwy Suite 106N, Dallas, TX 75247, USA.

³The Edward S. Rogers Sr. Department of Electrical & Computer Engineering, University of Toronto, 27 King's College Cir, Toronto, ON M5S 1A1, Canada.

⁴The Institute of Biomedical Engineering, University of Toronto, 27 King's College Cir, Toronto, ON M5S 1A1, Canada.

PubMed PMC DOI PDF

Abstract

This study explores the integration of Wide Field Optical Coherence Tomography (WF-OCT) with an AI-driven clinical decision support system, with the goal of enhancing productivity and decision making in breast cancer surgery margin assessment. A computationally efficient convolutional neural network (CNN)-based binary classifier is developed using 585 WF-OCT margin scans from 151 subjects. The CNN…

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